arch_record_lesson
Record a lesson as rule / why / when. Duplicates bump updatedAt (Reflexion confirmation) instead of overwriting.
How to use it
Project documentation lists arch_record_lesson for the Paparats MCP MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), then check which tools your installed version makes available. Tool availability can depend on configuration and credentials. A server handshake does not verify this tool’s behavior. See the full listing for setup details.
Install Paparats MCP
claude mcp add --transport http paparats http://localhost:9876/mcpOther tools in Paparats MCP (20)
Read-only architectural memory. Returns components, decisions, and lessons relevant to the query with updated N ago stamps and a minscore cutoff.
Record a component with Does / Owns / Does not / Touched when fields. Idempotent by name.
Record an ADR-style decision (context / decision / alternativesrejected / consequences). Server-side similarity gate refuses duplicates and surfaces near-matches; supersedes links replace prior decisions.
Off-anchor result share per user — indicator of search noise.
Wipe Qdrant chunks + SQLite metadata for a project (CLI's paparats remove calls it).
Comprehensive feature analysis: locations + recent changes for a question.
AST parse failures, regex fallbacks, zero-chunk files, binary skips.
Walk the symbol graph from a chunkid — incoming (callers/references in), outgoing (calls/references out), or both.
Retrieve a chunk by ID with optional surrounding context.
Git history and ticket references for a chunk — commits, authors, dates. No code.
Indexing status, chunks per group, running jobs.
Cross-chunk impact for a chunkid — symbol graph traversal + cross-project blast radius.
List indexed projects with chunk counts and detected languages.
Timeline grouped by date with commits, tickets, affected files. since filter.
Tool-call retry rate per user — indicator of unhelpful results.
Semantic search filtered by last-commit date. Each result shows when it last changed.
Semantic search across indexed projects. Returns chunks with symbol info and confidence scores.
Top-N slowest searches with timing + chunk counts.
Aggregate token-savings stats (naive baseline vs search-only vs actually consumed).
Most frequent queries by user/session/project anchor.